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Books > Professional & Technical > Energy technology & engineering > Electrical engineering
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Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things (Hardcover, 1st ed. 2020)
Loot Price: R2,874
Discovery Miles 28 740
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Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things (Hardcover, 1st ed. 2020)
Series: Springer Theses
Expected to ship within 10 - 15 working days
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The Internet of Things (IoT) is the next big challenge for the
research community. The IPv6 over low power wireless personal area
network (6LoWPAN) protocol stack is considered a key part of the
IoT. In 6LoWPAN networks, heavy network traffic causes congestion
which significantly degrades network performance and impacts on
quality of service aspects. This book presents a concrete, solid
and logically ordered work on congestion control for 6LoWPAN
networks as a step toward successful implementation of the IoT and
supporting the IoT application requirements. The book addresses the
congestion control issue in 6LoWPAN networks and presents a
comprehensive literature review on congestion control for WSNs and
6LoWPAN networks. An extensive congestion analysis and assessment
for 6LoWPAN networks is explored through analytical modelling,
simulations and real experiments. A number of congestion control
mechanisms and algorithms are proposed to mitigate and solve the
congestion problem in 6LoWPAN networks by using and utilizing the
non-cooperative game theory, multi-attribute decision making and
network utility maximization framework. The proposed algorithms are
aware of node priorities and application priorities to support the
IoT application requirements and improve network performance in
terms of throughput, end-to-end delay, energy consumption, number
of lost packets and weighted fairness index.
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